Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2017-11-14 12:13:08	ga_s2bm_ard_3-2-1_49KGP_2017-11-14_final.stac-item
2017-11-14 12:13:08	ga_s2bm_ard_3-2-1_49KHP_2017-11-14_final.stac-item
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_49JGJ_2017-12-01_final.stac-item
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_49KGQ_2017-12-01_final.stac-item
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50HLK_2017-12-08_final.stac-item
2018-03-04 12:13:52	ga_s2bm_ard_3-2-1_49KHQ_2018-03-04_final.stac-item
2018-03-12 11:35:28	ga_s2bm_ard_3-2-1_50HQH_2018-03-12_final.stac-item
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_49KGQ_2018-03-24_final.stac-item
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49KHQ_2018-04-03_final.stac-item
2018-04-23 12:13:20	ga_s2bm_ard_3-2-1_49JGN_2018-04-23_final.stac-item
2018-04-23 12:13:20	ga_s2bm_ard_3-2-1_49KHP_2018-04-23_final.stac-item
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_49JGJ_2018-10-27_final.stac-item
2018-11-10 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2018-11-10_final.stac-item
2018-12-06 12:04:08	ga_s2bm_ard_3-2-1_49KHQ_2018-12-06_final.stac-item
2018-12-06 12:04:22	ga_s2bm_ard_3-2-1_49KHP_2018-12-06_final.stac-item
2018-12-10 11:46:42	ga_s2bm_ard_3-2-1_50HPJ_2018-12-10_final.stac-item
2018-12-26 12:04:53	ga_s2bm_ard_3-2-1_49JHM_2018-12-26_final.stac-item
2018-12-30 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2018-12-30_final.stac-item
2019-01-09 11:46:32	ga_s2bm_ard_3-2-1_50HPK_2019-01-09_final.stac-item
2019-01-15 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2019-01-15_final.stac-item
2019-01-15 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2019-01-15_final.stac-item
2019-01-19 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2019-01-19_final.stac-item
2019-01-25 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2019-01-25_final.stac-item
2019-01-25 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2019-01-25_final.stac-item
2019-01-25 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2019-01-25_final.stac-item
2019-02-17 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2019-02-17_final.stac-item
2019-05-19 11:46:54	ga_s2bm_ard_3-2-1_50HMK_2019-05-19_final.stac-item
2019-05-19 11:46:58	ga_s2bm_ard_3-2-1_50HPJ_2019-05-19_final.stac-item
2019-05-19 11:47:04	ga_s2bm_ard_3-2-1_50HMJ_2019-05-19_final.stac-item
2019-05-22 11:56:45	ga_s2bm_ard_3-2-1_50HMK_2019-05-22_final.stac-item
2019-06-01 11:56:59	ga_s2bm_ard_3-2-1_50HMJ_2019-06-01_final.stac-item
2019-06-11 11:56:44	ga_s2bm_ard_3-2-1_50HMK_2019-06-11_final.stac-item
2019-10-19 11:56:31	ga_s2bm_ard_3-2-1_50HNK_2019-10-19_final.stac-item
2019-10-19 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2019-10-19_final.stac-item
2019-10-23 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2019-10-23_final.stac-item
2019-11-04 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2019-11-04_final.stac-item
2019-11-21 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2019-11-21_final.stac-item
2019-12-21 12:04:23	ga_s2bm_ard_3-2-1_49KHP_2019-12-21_final.stac-item
2019-12-24 12:14:16	ga_s2bm_ard_3-2-1_49KHP_2019-12-24_final.stac-item
2020-01-01 11:36:58	ga_s2bm_ard_3-2-1_50HQH_2020-01-01_final.stac-item
2020-02-06 11:56:08	ga_s2bm_ard_3-2-1_50JKM_2020-02-06_final.stac-item
2020-03-03 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2020-03-03_final.stac-item
2020-03-10 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2020-03-10_final.stac-item
2020-04-29 12:04:56	ga_s2bm_ard_3-2-1_49JGM_2020-04-29_final.stac-item
2020-06-25 11:56:39	ga_s2bm_ard_3-2-1_50HMK_2020-06-25_final.stac-item
2020-06-25 11:57:12	ga_s2bm_ard_3-2-1_50HLH_2020-06-25_final.stac-item
2020-08-27 12:04:45	ga_s2bm_ard_3-2-1_49JHN_2020-08-27_final.stac-item
2020-09-16 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2020-09-16_final.stac-item
2020-10-09 12:14:04	ga_s2bm_ard_3-2-1_49KGR_2020-10-09_final.stac-item
2020-11-18 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2020-11-18_final.stac-item
2020-11-25 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2020-11-25_final.stac-item
2020-12-08 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2020-12-08_final.stac-item
2021-01-04 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2021-01-04_final.stac-item
2021-01-05 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2021-01-05_final.stac-item
2021-01-11 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2021-01-11_final.stac-item
2021-01-24 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2021-01-24_final.stac-item
2021-02-26 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2021-02-26_final.stac-item
2021-03-02 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2021-03-02_final.stac-item
2021-03-05 12:04:12	ga_s2bm_ard_3-2-1_49KHQ_2021-03-05_final.stac-item
2021-03-05 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2021-03-05_final.stac-item
2021-05-08 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2021-05-08_final.stac-item
2021-05-15 11:36:37	ga_s2bm_ard_3-2-1_50HPK_2021-05-15_final.stac-item
2021-05-18 11:46:47	ga_s2bm_ard_3-2-1_50HPJ_2021-05-18_final.stac-item
2021-07-03 12:04:49	ga_s2bm_ard_3-2-1_49JHN_2021-07-03_final.stac-item
2021-07-04 11:37:28	ga_s2bm_ard_3-2-1_50HNG_2021-07-04_final
2021-07-27 11:46:45	ga_s2bm_ard_3-2-1_50HQJ_2021-07-27_final.stac-item
2021-08-09 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2021-08-09_final.stac-item
2021-08-12 12:04:21	ga_s2bm_ard_3-2-1_49KHQ_2021-08-12_final.stac-item
2021-08-15 12:14:09	ga_s2bm_ard_3-2-1_49KHQ_2021-08-15_final.stac-item
2021-09-11 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2021-09-11_final.stac-item
2021-09-22 11:37:00	ga_s2bm_ard_3-2-1_50HQH_2021-09-22_final.stac-item
2021-11-14 11:46:33	ga_s2bm_ard_3-2-1_50HPK_2021-11-14_final.stac-item
2021-12-04 11:47:00	ga_s2bm_ard_3-2-1_50HNH_2021-12-04_final.stac-item
2021-12-30 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2021-12-30_final.stac-item
2022-06-22 11:47:07	ga_s2bm_ard_3-2-1_50HPH_2022-06-22_final.stac-item
2022-07-02 11:47:15	ga_s2bm_ard_3-2-1_50HMH_2022-07-02_final.stac-item
2022-07-12 11:46:58	ga_s2bm_ard_3-2-1_50HQH_2022-07-12_final.stac-item
2022-07-22 11:47:19	ga_s2bm_ard_3-2-1_50HLH_2022-07-22_final.stac-item
2022-08-18 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2022-08-18_final.stac-item
2022-09-06 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2022-09-06_final.stac-item
2022-11-15 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2022-11-15_final.stac-item
2022-11-16 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2022-11-16_final.stac-item
2022-12-05 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2022-12-05_final.stac-item
2022-12-18 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2022-12-18_final.stac-item
2022-12-25 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2022-12-25_final.stac-item
2022-12-25 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2022-12-25_final.stac-item
2022-12-25 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2022-12-25_final.stac-item
2023-02-04 11:37:14	ga_s2bm_ard_3-2-1_50HQG_2023-02-04_final
2023-03-08 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2023-03-08_final
2023-03-09 11:47:28	ga_s2bm_ard_3-2-1_50HMG_2023-03-09_final
2023-04-15 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2023-04-15_final
2023-06-07 11:46:58	ga_s2bm_ard_3-2-1_50HQH_2023-06-07_final
2023-06-17 11:47:19	ga_s2bm_ard_3-2-1_50HLH_2023-06-17_final
2023-06-20 11:56:55	ga_s2bm_ard_3-2-1_50HMJ_2023-06-20_final
2023-07-07 11:46:46	ga_s2bm_ard_3-2-1_50HMK_2023-07-07_final
2023-07-14 11:37:31	ga_s2bm_ard_3-2-1_50HNG_2023-07-14_final
2023-07-17 11:47:22	ga_s2bm_ard_3-2-1_50HPG_2023-07-17_final
2023-09-22 11:37:10	ga_s2bm_ard_3-2-1_50HPH_2023-09-22_final
2023-09-25 11:47:06	ga_s2bm_ard_3-2-1_50HPH_2023-09-25_final
2023-11-21 11:37:23	ga_s2bm_ard_3-2-1_50HNG_2023-11-21_final

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years